Cover Image

Spectral Gradient Surgery for Domain-Generalizable Dataset Distillation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Oh, Minyoung, Chae, Najeong, Sim, Jae-Young
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Domain Generalizable Person Search Using Unreal Dataset
by: Oh, Minyoung, et al.
Published: (2024)

Lifelong Person Re-Identification with Backward-Compatibility
by: Oh, Minyoung, et al.
Published: (2024)

Dataset Distillation of 3D Point Clouds via Distribution Matching
by: Yim, Jae-Young, et al.
Published: (2025)

Understanding Dataset Distillation via Spectral Filtering
by: Bo, Deyu, et al.
Published: (2025)

Distilling Dataset into Neural Field
by: Shin, Donghyeok, et al.
Published: (2025)

Domain-Generalizable Multiple-Domain Clustering
by: Rozner, Amit, et al.
Published: (2023)

Toward Generalizable Whole Brain Representations with High-Resolution Light-Sheet Data
by: Kim, Minyoung E., et al.
Published: (2026)

Exploring the Impact of Dataset Bias on Dataset Distillation
by: Lu, Yao, et al.
Published: (2024)

Distilled Datamodel with Reverse Gradient Matching
by: Ye, Jingwen, et al.
Published: (2024)

Towards Trustworthy Dataset Distillation
by: Ma, Shijie, et al.
Published: (2023)

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation
by: Choi, Jaehyun, et al.
Published: (2025)

SGMD: Score Gradient Matching Distillation for Few-Step Video Diffusion Distillation
by: Wu, Zhuguanyu, et al.
Published: (2026)

Gradient Similarity Surgery in Multi-Task Deep Learning
by: Borsani, Thomas, et al.
Published: (2025)

Multi-Modal Dataset Distillation in the Wild
by: Dang, Zhuohang, et al.
Published: (2025)

VideoNet: A Large-Scale Dataset for Domain-Specific Action Recognition
by: Yadav, Tanush, et al.
Published: (2026)

GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation
by: Lin, Fengming, et al.
Published: (2024)

HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss
by: Matin, Abdul, et al.
Published: (2025)

Domain Generalizable Continual Learning
by: Yan, Hongwei, et al.
Published: (2025)

Temporal Saliency-Guided Distillation: A Scalable Framework for Distilling Video Datasets
by: Gu, Xulin, et al.
Published: (2025)

Continual Distillation of Teachers from Different Domains
by: Michel, Nicolas, et al.
Published: (2026)

SpectralKD: A Unified Framework for Interpreting and Distilling Vision Transformers via Spectral Analysis
by: Tian, Huiyuan, et al.
Published: (2024)

Attention Frequency Modulation: Training-Free Spectral Modulation of Diffusion Cross-Attention
by: Oh, Seunghun, et al.
Published: (2026)

Improve Cross-Architecture Generalization on Dataset Distillation
by: Zhou, Binglin, et al.
Published: (2024)

Dataset Distillers Are Good Label Denoisers In the Wild
by: Cheng, Lechao, et al.
Published: (2024)

Gradient Descent as a Shrinkage Operator for Spectral Bias
by: Lucey, Simon
Published: (2025)

Guiding Distribution Matching Distillation with Gradient-Based Reinforcement Learning
by: Dong, Linwei, et al.
Published: (2026)

Generalizable Blood Cell Detection via Unified Dataset and Faster R-CNN
by: Sahay, Siddharth
Published: (2025)

Spectral Wavelet Dropout: Regularization in the Wavelet Domain
by: Cakaj, Rinor, et al.
Published: (2024)

Online Distillation with Continual Learning for Cyclic Domain Shifts
by: Houyon, Joachim, et al.
Published: (2023)

Bias Leaves a Gradient Trail: Label-Free Bias Identification via Gradient Probes on Concept Decompositions
by: Vitry, Thomas, et al.
Published: (2026)

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI
by: Kim, Won Jun, et al.
Published: (2024)

Towards Adversarially Robust Dataset Distillation by Curvature Regularization
by: Xue, Eric, et al.
Published: (2024)

Low-Rank Similarity Mining for Multimodal Dataset Distillation
by: Xu, Yue, et al.
Published: (2024)

DataDAM: Efficient Dataset Distillation with Attention Matching
by: Sajedi, Ahmad, et al.
Published: (2023)

On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
by: Sun, Peng, et al.
Published: (2023)

Inductive Gradient Adjustment For Spectral Bias In Implicit Neural Representations
by: Shi, Kexuan, et al.
Published: (2024)

LTD: Low Temperature Distillation for Gradient Masking-free Adversarial Training
by: Chen, Erh-Chung, et al.
Published: (2021)

Flatness and Gradient Alignment Are Both Necessary: Spectral-Aware Gradient-Aligned Exploration for Multi-Distribution Learning
by: Ballas, Aristotelis, et al.
Published: (2026)

Modality-Balanced Collaborative Distillation for Multi-Modal Domain Generalization
by: Wang, Xiaohan, et al.
Published: (2025)

Domain Generalization for Crop Segmentation with Standardized Ensemble Knowledge Distillation
by: Angarano, Simone, et al.
Published: (2023)